Bayesian modeling of measurement error in predictor variables using item response theory

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Relaxing Measurement Invariance in Cross-National Consumer Research Using a Hierarchical IRT Model (2007, background): “This random-effects approach for the latent variable is consistent with recent work on multilevel latent variable modeling in psychometrics (Fox and Glas 2001, 2003).”
Generalized multilevel structural equation modeling (2004, methodology): “Goldstein (1995) suggests an alternative two-stage method.”
Experiences With Markov Chain Monte Carlo Convergence Assessment in Two Psychometric Examples (2004, background): “Beguin and Glas (2001), Bradlow, Wainer, and Wang (1999), Fox and Glas (2003), Janssen, Tuerlinckx, Meulders, and De Boeck (2000), and Scott and Ip (2002), are only some of the recent examples of application of MCMC algorithms to fit complicated psychometric models.”
A skew item response model (2006, methodology): “…(2P) IRT model and not in the three-parameter (3P) IRT model, because several generalizations and applications are possible for the 2P model (see, for example, Bradlow et al. 1999, Béguin and Glas 2001, Fox and Glas 2001, Linardakis and P. Dellaportas 2002, Fox and Glas 2003, and Jackman 2004).”